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Apache Storm Interview Questions

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If you're looking for Apache Storm Interview Questions for Experienced or Freshers, you are at right place. There are lot of opportunities from many reputed companies in the world. According to research Apache Storm has a market share of about 1.3%. So, You still have opportunity to move ahead in your career in Apache Storm Development. Mindmajix offers Advanced Apache Storm Interview Questions 2018 that helps you in cracking your interview & acquire dream career as Apache Storm Developer.

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Q. Explain Apache Storm Stream Flow ?
Its a stream processing tool designed for building and monitoring workflows processing.

Q. What are the good things about Apache when compared it to Hadoop?
Well, the Answer to this question depends on the overall time period for which you have used any one of these approaches or both. However, some key points that put them separate from each other are

1. Apache is capable to process a very large number of jobs in a very short span of time which makes it one of the widely preferred approach
2. For higher though outs, this approach is widely adopted due to its reliable operation when compared to the Hadoop
3. It is independent of the nature of any programming language. The same cannot create any barrier in its way and always make sure that the users will get the outcomes in the most reliable manner without compromising with anything.

Q. What are some common data processing challenges that you have ever experienced?
The prime challenge is to sort the data. Well, the fact is data is always in bulk and obviously, it is not structured. Summarizing it needs a lot of item and efforts if there are no proper tools available to the users. In addition to this, one can simply make sure of compatibility-related issues in some cases. You might have no idea but the fact is things are not always smooth when the data is not processed in the way it needs to be.

Q. What exactly do you know about the master node?
It basically runs a daemon which is popular as Nimbus and is quite popular in data processing applications. When it comes to assigning the codes, this approach is very useful and can easily be trusted without facing any issue. It also monitors the performance and also keeps a close eye on the machines engaged in performing some important tasks associated with this domain.

Q. Tell something about the worker node?
Well, it is quite similar to that of the master node. It also runs a daemon which is generally called as a supervisor. IT starts and stops the work when the tasks are assigned to the main module and always make sure users get the most desired outcomes in a short period of time. It is governed by some topologies which simply make sure that the processes which are working around the machines can get the cluster in a way it is required. It simply facilitates the communication between the messenger and the nimbus.

Q. What exactly do you know about the storm topology?
It is basically defined as a network which is made up of bolts and puts and is mainly responsible for the jobs related to mapping. These are the source tasks which are related to the data processing and always make sure that one format can be put separate from the other. Upon submission of the storm, the cluster always makes sure that the supervisor and the other nodes get the thing done in a rightful manner.

Q. Tell something about the basic abstractions of the architecture related to the Storm?
It is generally called as Stream and is generally regarded as the pipelines of the tuples which are unbounded. The fundamental component which has a list of names defining the storm cluster is known as the tuple.

Q. Do you think data processing is similar to the filling?
Both are different from each other. There are processes which are common bit are having objectives which are totally different.

Q. What are the basic components required for data processing?

a) A workstation
b) A software
c) Processing systems
d) Information along with its source
e) Expertise
f) Knowledge of fundamentals of data processing
g) Data understanding along with different formats

Q. What is the difference between raw data and processed data?
Raw data is the unstructured data which is very large in size. It doesn’t provide a goal and it is not possible to make predictions about the same. On the other side, the processed data contain useful information towards a specific goal. It is limited in size than the raw data. Also, it has a specific format only.

Q. What should you do to integrate storm with yarn?
There is nothing much to do with this Apache slider is something that can help a lot in this matter. The same approach can also be applied to the cluster approach. This task can be performed without modifying the architecture and this is the best things about this approach.

Q. What is the exact role of Apache storm?
It is basically an approach that is useful for processing data with very high velocity. The best thing about the storm is its ability to processes millions of files at a very fast speed. In Hadoop environment, it is possible to combine storm with other applications and this assures a better outcome.

Q. What do you know about the Apache Storm and how do you think it is good enough to be trusted?
It is basically a real-time computational system which is having wide applications in the data processing. Even when the streams of the data are unbounded, it can easily be trusted and is one of the best platforms that can easily be trusted by one and all. This platform is highly accurate and is one of the best when it comes to reliability and use. This is exactly what that makes it a popular approach that is good enough to be considered for the long run.

Q. What makes storm an excellent approach for data processing workloads?
The storm is fast and in addition to its quick data processing, it is highly scalable. It is possible to run it across a cluster of machines. Also, it is having a good fault-tolerance capacity. This means if a node fails the users have no reason to worry about anything. In addition to this, it is reliable and makes sure each group is processed a number of times. Messages are only sent again when they failed to reach the destination. A storm is very easy to operate once it is deployed.

Q. What do you know about the nodes in the storm?
There are three modes in the storm and they are good enough to be used for making the data processing a very reliable approach. The first one is Nimbus mode which performs a task such as loading computations for execution. It also distributes the code to the cluster. It also monitors computation processes. Next mode is Zookeeper which communicates with the Nimbus. The third one is the Supervisor Node which governs control over nodes.

Q. Does processing always mean change in data?
Processing of data generally deals with many factors and thus processing can change data up to some or high extent and because of this reason processing of data cannot be said independently of change.

Q. Does error always mean re-processing of data?
No, it doesn’t always mean the same. It actually depends on the type of errors and the reason of their origin. The fact is pre-processing concept is only applicable when there are more than a specific range of errors are present in the modules.

Q. Why do you want to begin your career in Data processing?
I want to make the most out of me in data processing. I am sure, I can boost my skills with this opportunity and it would be good for both me and the organization to gain potential in the shortest possible time.

Q. What are the basic applications of computer applications you are familiar with which you think can be beneficial for you in the data analysis & processing?
Well, the simple web browsing is something which is the base of any process and so does this. In addition to this, I know HTML. After this, you mention all other skills you have acquired.

Q. What do you mean by WPM? How is it important?
WPM stands for work per minute. In both processing and analyzing it largely matters to know how much data or the information has been processed. It is generally used to predict the future outcomes of different projects. In addition to this, WPM male sure that users have all the real-time information available to them to get results in the way they want.

Q. What does accuracy mean to you and what is its significance according to you?
Accuracy is important than anything else. This is because data processing is a vast term. Errors can often declare their presence if accuracy is not maintained. Errors can delay the projects or can simply impose a limit on the overall number of tasks that can be performed which are important and related to data.

Q. What would be your plan of action if the information or data you are going to deal with is sensitive?
Of course, I will handle such information with care and in fact without modifying it beyond a limit without the permission from higher authorities. It is possible to impose various restrictions on the data and I will consider some approaches to the safety of data.

Q. Tell us your qualities which you think you are able to use in data processing?
I can always make sure of perfect and timely management of processing of data. I will pay extra attention the core concepts. In addition to this, I am well familiar with the information processing systems.

Q. What do you think is the prime role of a data analyzing expert?
First is to make sure that the information which needs to be processed is correct in terms of errors. The experts always take care of this. It is their duty to make sure that things remain under control which is possible only if sorting is done with extreme care. Thus, it is very necessary for the experts to make sure that things should be sorted, compiled and verified before actual processing.

Q. Do you think data processing is similar to the filling?
Both are different from each other. There are processes which are common bit are having objectives which are totally different.

Q. What are the basic components required for data processing?
A workstation
A software
Processing systems
Information along with its source
Expertise
Knowledge of fundamentals of data processing
Data understanding along with different formats

Q. What is the difference between raw data and processed data?
Raw data is the unstructured data which is very large in size. It doesn’t provide a goal and it is not possible to make predictions about the same. On the other side, the processed data contain useful information towards a specific goal. It is limited in size than the raw data. Also, it has a specific format only.

Q. On what factor does the success of a data processing approach depend?
The first thing on which it depends on is nothing but the size of the data. More data means more time and therefore users must rely upon minimum possible data only. Factors such as the method used, the principle followed accuracy, the features of the processing system and the knowledge of user also matters.

Q. In data processing, is it necessary that all the operation are performed in a series which is defined?
It is not always necessary and the users can accomplish some important operations first than others. However, it depends largely on the information size.

Q. What is the main aim of data processing according to you?
It simply makes sure that the decisions which are effective in business can be taken only.

Q. Suppose a business use different applications and the data processing is based on one. Do you think this could create data compatibility problems?
Well, there are almost no chances for this as most of the application platforms are independent of technology. However, in case the applications are complex and have special needs, there are some chances of this issue. So users should take same into consideration.

Q. Suppose the characters are arranged in an incorrect manner? What does this simply mean for processing?
This means an error would be there and this error is known as transportation error. It can give rise to many other problems. So, it is necessary that users mention the characters in the correct sequence.

Q. What do you mean by data integrity and what are the methods available to reduce threats to it.
Data integrity simply means availability timeliness, dependability, and accuracy of the data and information. Something that can minimize the risk is taking proper backup of data on the storage. In addition to this, using error detection software can also help up to a good extent in this manner.

Q. What do you think are the disadvantage of real-time processing approach?
It is not easy to develop this approach. Also, it needs large equipment for communication to share the workload there is a need for multiples processor which is another drawback.

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